Why Do Russian Consumers Prefer Foreign-Made Products and Brands?
Bibliographic record
Abstract
This study’s purpose is four-fold: (1) To test the nomological validity of the X-Scale; (2) To assess the bi-dimensionality of the consumer xenocentrism construct in a new geographical setting; (3) To determine the predictive validity of consumer xenocentrism on the willingness to buy foreign-made products and preferences for foreign brands; and (4) To analyze the relationship between consumer xenocentrism and demographics variables. The conceptualization of this research is based on System Justification Theory and Social Dominance Theory. The study was carried out across Russia employing an online survey. Results support the bi-dimensionality of the X-Scale, and indicate that consumer xenocentrism is negatively related to the consumer disposition of ethnocentrism and positively with cosmopolitanism. The X-scale explains significantly more variance on foreign brand preferences than its related consumer dispositions. In addition, consumer xenocentrism is manifested toward preferences for products and brands coming from developed countries instead of developing or transitional ones. Russian consumers are xenocentric, and the ones significantly scoring higher in this construct are males and those speaking more than one language. These results lead to a discussion of the nature of Russian consumer xenocentrism and its potential managerial implications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".